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The Lair: a resource for exploratory analysis of published RNA-Seq data

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dc.contributor Háskóli Íslands
dc.contributor University of Iceland
dc.contributor.author Pimentel, Harold
dc.contributor.author Sturmfels, Pascal
dc.contributor.author Bray, Nicolas
dc.contributor.author Melsted, Páll
dc.contributor.author Pachter, Lior
dc.date.accessioned 2017-09-08T13:22:42Z
dc.date.available 2017-09-08T13:22:42Z
dc.date.issued 2016-12
dc.identifier.citation Pimentel, H., Sturmfels, P., Bray, N., Melsted, P., & Pachter, L. (2016). The Lair: a resource for exploratory analysis of published RNA-Seq data. BMC Bioinformatics, 17(1), 490. doi:10.1186/s12859-016-1357-2
dc.identifier.issn 1471-2105
dc.identifier.uri https://hdl.handle.net/20.500.11815/386
dc.description.abstract Increased emphasis on reproducibility of published research in the last few years has led to the large-scale archiving of sequencing data. While this data can, in theory, be used to reproduce results in papers, it is difficult to use in practice. We introduce a series of tools for processing and analyzing RNA-Seq data in the Sequence Read Archive, that together have allowed us to build an easily extendable resource for analysis of data underlying published papers. Our system makes the exploration of data easily accessible and usable without technical expertise. Our database and associated tools can be accessed at The Lair: http://pachterlab.github.io/lair.
dc.description.sponsorship National Institutes of Health grants R01 HG006129, R01 DK094699 and R01 HG008164.
dc.format.extent 490
dc.language.iso en
dc.publisher Springer Nature
dc.relation.ispartofseries BMC Bioinformatics;17(1)
dc.rights info:eu-repo/semantics/openAccess
dc.subject RNA-Seq.
dc.subject Sequence read archive
dc.subject Exploratory data analysis
dc.subject RNA kjarnsýra
dc.subject Gagnagrunnar
dc.title The Lair: a resource for exploratory analysis of published RNA-Seq data
dc.type info:eu-repo/semantics/article
dcterms.license This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
dc.description.version Peer Reviewed
dc.identifier.journal BMC Bioinformatics
dc.identifier.doi 10.1186/s12859-016-1357-2
dc.relation.url http://link.springer.com/content/pdf/10.1186/s12859-016-1357-2.pdf
dc.contributor.department Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ)
dc.contributor.department Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI)
dc.contributor.school Verkfræði- og náttúruvísindasvið (HÍ)
dc.contributor.school School of Engineering and Natural Sciences (UI)


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